Designing Reason Support Systems to Increase Satisfaction, Enjoyment, and Intention to Use
Department
Business and Information Technology
Major
Information Science and Technology
Research Advisor
Twyman, Nathan W.
Advisor's Department
Business and Information Technology
Funding Source
Opportunities for Undergraduate Research Experience (OURE); Laboratory for Information Technology Evaluation (LITE)
Abstract
A Reason Support System (RSS) uses a web of interconnected logical statements that supports an overarching objective, goal, idea, or decision. Traditionally, groups or individuals have arrived at decisions using various methods such as brainstorming sessions, Post-it notes, whiteboards, or lengthy research. The result of these decisions can have negative consequences due to our tendencies to make biased decisions. Decision support systems (DSS) have been developed to help aid decision-making, some on an individual and some on a group scale. Although DSS have been shown to reduce error and improve decision quality overall, the adoption of these systems has been low. In this study, we evaluate the potential of a new type of DSS that focuses on the earliest process that affects the decision, namely, the reasoning that occurs when conceptualizing a problem space and work to implement certain design aspects to increase adoption among users.
Biography
Nick Rollins is an undergraduate student of Information Science and Technology (IST) at Missouri S&T. His academic focus is in Human-Computer Interaction (HCI) and is very involved with research in this area as the Lab Manager of the Laboratory for Information Technology Evaluation (LITE). He aspires to begin a career in User Experience (UX) Research and Design after graduating in May 2016.
Research Category
Social Sciences
Presentation Type
Poster Presentation
Document Type
Poster
Location
Upper Atrium/Hallway
Presentation Date
11 Apr 2016, 9:00 am - 11:45 am
Designing Reason Support Systems to Increase Satisfaction, Enjoyment, and Intention to Use
Upper Atrium/Hallway
A Reason Support System (RSS) uses a web of interconnected logical statements that supports an overarching objective, goal, idea, or decision. Traditionally, groups or individuals have arrived at decisions using various methods such as brainstorming sessions, Post-it notes, whiteboards, or lengthy research. The result of these decisions can have negative consequences due to our tendencies to make biased decisions. Decision support systems (DSS) have been developed to help aid decision-making, some on an individual and some on a group scale. Although DSS have been shown to reduce error and improve decision quality overall, the adoption of these systems has been low. In this study, we evaluate the potential of a new type of DSS that focuses on the earliest process that affects the decision, namely, the reasoning that occurs when conceptualizing a problem space and work to implement certain design aspects to increase adoption among users.
Comments
Joint project with Lindsey Carlson